Existing business models are changed and disrupted by blockchain technology, which warrants more research. This study tries to describe the phenomena of blockchain technology in relation to business model innovation in the enterprise ecosystem on the basis of that. Blockchain technology has been shown to increase organizational performance empirically. The value system concept is used in this study to explain this phenomena. This study employs a multiple-case study to respond to research questions using abductive reasoning. Overall, the outcomes According to this study, blockchain technology benefits an organization in four different ways: I value capture through higher profitability; (ii) value creation through private partnerships; (iii) value delivery through smart contracts; and (iv) value proposition that drives value by raising the organization's business value through operational improvements. This report also suggests a blockchain ecosystem with various private and consortium organizations. Private ecosystem focused on internal organizational performance enhancement within one corporate enterprise. The consortium ecosystem, on the other hand, is focused on fostering corporate cooperation.
<p class="Abstrak">Memasuki tahun politik 2018-2019, Indonesia mengalami darurat <em>hoax</em> dimana isu-isu politik menyebar dengan sangat cepat terutama pada jejaring sosial yang merupakan wadah untuk menghubungkan setiap individu di seluruh dunia. <em>Twitter</em> sebagai salah satu jejaring sosial yang sering dipakai masyarakat Indonesia, menyebabkan isu-isu politik pun ikut terbawa dalam bentuk tagar (#). Tagar #RatnaMilikSiapa yang merupakan isu politik dari kasus <em>hoax</em> kebohongan penganiayaan RS di kota Bandung dijadikan sebagai tunggangan para pengguna <em>twitter</em> untuk membangun opini di masyarakat sehinga menjadikan hal tersebut sebagai <em>hoax</em> menjelang pemilihan Presiden 2019. Opini-opini dari setiap pengguna <em>twitter</em> tersebut telah menciptakan jaringan-jaringan komunikasi yang membahas tentang kasus politik penganiyayaan RS dengan tagar #RatnaMilikSiapa . Penelitian ini bertujuan untuk mengidentifikasi aktivitas penyebaran tagar #RatnaMilikSiapa dengan menggunakan metode <em>Social Network Analyis</em> (SNA) pada jejaring sosial <em>twitter</em>. Dalam penelitian ini, dilakukan identifikasi terhadap aktor utama dengan melakukan perhitungan sentralitas tingkatan atau <em>degree Centrality </em>(BC) sehingga dapat ditemukan aktor yang berpengaruh dalam terbentuknya kelompok-kelompok jaringan <em>tweet</em> #RatnaMilikSiapa pada jejaring sosial <em>twitter</em>. Hasil dari penelitan ini adalah ditemukannya 3 aktor kunci (<em>creator & influencers</em>) yang berasal dari 5 aktor utama penyebaran <em>tweet </em> #RatnaMilikSiapa dengan mengidentifikasi adanya pertukaran berita yang dilakukan oleh para aktor utama dan didukung dengan perhitungan nilai sentralitas keperantaraan atau <em>betweenness Centrality </em>(BC). Kemudian juga ditemukannya 32 aktor <em>boundary spanner</em> yang merupakan dampak dari aktivitas pertukaran berita atau <em>information exchange</em> yang dilakukan oleh aktor kunci pada jaringan komunikasi dalam jejaring sosial <em>twitter</em>.</p><p class="Abstrak"><em><strong>Abstract</strong></em></p><p class="Judul2"><em>Entering the political year of 2018-2019, Indonesia is facing a hoax crisis where political issues spread rapidly, especially on social media as a place for connecting people all over the world. Twitter as one of the popular social media, which is frequently used by the society of Indonesian, leads the political issues spread widely through the hashtag (#). </em><em> </em><em>#RatnaMilikSiapa which was a hoax case about RS persecution in Bandung turned as a way for Twitter users creating a judgment in the society so that that issue became a hoax approaching the Presidential Election of 2019. The opinions of Twitter users had created a communication network discussed RS persecution as a political issue with #RatnaMilikSiapa. </em><em> </em><em>This research intends to identify the #RatnaMilikSiapa deployment activity with the using of Social Network Analyis (SNA) method on Twitter. This research conducts the identification toward the main actors with degree Centrality (BC) calculation until the actor who influenced the establishment of #RatnaMilikSiapa tweet network groups on Twitter can be found. The results of this research are the researcher had found the three key actors (creator and influencers) which originated from 5 main actors who spread #RatnaMilikSiapa tweet. The researcher identifies the information exchange which had been done by the main actors and the results supports by the value of betweenness Centrality (BC) calculation. Later, the researcher had found 32 actors of boundary spanner which was the impact of information exchange done by the key actors on the communication network of Twitter.</em><em></em></p><p class="Abstrak"><em><strong><br /></strong></em></p>
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